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Chul Moon
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Persistent homology machine learning for fingerprint classification
N Giansiracusa, R Giansiracusa, C Moon
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
432019
Statistical inference over persistent homology predicts fluid flow in porous media
C Moon, SA Mitchell, JE Heath, M Andrew
Water Resources Research 55 (11), 9592-9603, 2019
252019
Persistence terrace for topological inference of point cloud data
C Moon, N Giansiracusa, NA Lazar
Journal of Computational and Graphical Statistics 27 (3), 576-586, 2018
142018
Using persistent homology topological features to characterize medical images: Case studies on lung and brain cancers
C Moon, Q Li, G Xiao
The Annals of Applied Statistics 17 (3), 2192-2211, 2023
9*2023
Intergranular pore structures in sandstones
C Moon, M Andrew
Digital Rocks Portal, 2019
62019
Hypothesis testing for shapes using vectorized persistence diagrams
C Moon, NA Lazar
Journal of the Royal Statistical Society Series C: Applied Statistics 72 (3 …, 2023
52023
Bayesian landmark-based shape analysis of tumor pathology images
C Zhang, T Bedi, C Moon, Y Xie, M Chen, Q Li
Journal of the American Statistical Association, 1-13, 2024
42024
Empirical likelihood inference for area under the receiver operating characteristic curve using ranked set samples
C Moon, X Wang, J Lim
Pharmaceutical Statistics 21 (6), 1219-1945, 2022
4*2022
SAFARI: shape analysis for AI-segmented images
E Fernández, S Yang, SH Chiou, C Moon, C Zhang, B Yao, G Xiao, Q Li
BMC Medical Imaging 22 (1), 129, 2022
42022
Bentheimer networks
C Moon, M Andrew
Digital Rocks Portal, Digital Rocks Portal 5, 2019
42019
Bayesian elastic net based on empirical likelihood
C Moon, A Bedoui
Journal of Statistical Computation and Simulation 93 (11), 1669-1693, 2023
32023
Empirical likelihood ratio tests for homogeneity of component lifetime distributions based on system lifetime data
J Qu, HKT Ng, C Moon
Computational Statistics, 1-23, 2023
12023
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Articles 1–12